EM vs. IC

If you want direct interview support from Alex and Uzair, take their live Maven course with discount code **TARO10**: <https://maven.com/alex-kliotzkin/acing-em-interviews>

This segment breaks down the fundamental differences between the roles of individual contributors (ICs) and engineering managers (EMs), using a structured view to clarify the contrast in scope, responsibility, and domain expertise. It emphasizes how transitioning from IC to EM is a **career shift**, not a promotion, due to the shift in focus from implementation to strategy and people leadership.

- **ICs focus deeply on implementation and domain expertise**, such as full-stack, cloud, embedded, or AI systems. They are vertical specialists with strong knowledge in their technical area.
- **ICs also operate within the software engineering realm**, applying practices like CI/CD, agile processes, and architecture—but mainly to support their implementation work.
- **EMs must be experts in software engineering best practices**, not just to implement them but to ensure sustainable development and product integrity across the team.
- **The core domain of EMs is technical leadership**, which includes stakeholder management, translating business needs into technical goals, strategic planning, communication, and team mentorship (i.e. areas ICs typically don't engage with).
- **Managing both delivery and team dynamics** makes the EM role distinctly broader, requiring versatility across both technical and people-focused domains.

[Paper Reading] Netflix : Query Facet Mapping and its Applications in Streaming Services

Led by [Dharin Shah](https://www.linkedin.com/in/dharinshah/)

For a Taro Premium discount from Dharin, use his referral link here: <https://www.jointaro.com/r/dharins694/>

This deep-dive goes through how Netflix built their internal query to facet mapping layer to have better understand intent of the query. For example - matching 'anim' to 'Demon Slayer' as higher rank than perhaps 'animal planet'. In this session we dive into the white paper released by Netflix around their implementation.

Link to Paper: [**https://dl.acm.org/doi/pdf/10.1145/3477495.3536330**](https://dl.acm.org/doi/pdf/10.1145/3477495.3536330)

Feedback Is A Gift. Seriously

In this lesson, we explore how feedback, especially how we *receive* it, is one of the most important levers for building trust with our engineering manager and accelerating our career growth.

- We highlight that managers are the primary (and often only) source of meaningful feedback, since peers rarely want the discomfort or risk of giving constructive criticism.
- We emphasize that when we first receive feedback, our job is to say **thank you**, avoid defensiveness, and take time to reflect—even if we disagree or feel misunderstood.
- We explain that most feedback contains at least a kernel of truth, and our responsibility is to identify what’s useful and implement changes quickly, then follow up later to show progress.
- We warn that pushing back defensively can permanently shut down future feedback, leaving us “rudderless” with no insight into what to improve.
- We share that the fastest-growing engineers treat feedback as a superpower: they assume good intent, absorb nuance, implement rapidly, and create a virtuous cycle where their manager is eager to invest even more in their growth.

Model Training

In this segment, we cover **model training**, a phase where many candidates fall into autopilot. To stand out, we need to show thoughtfulness, adaptability, and a clear connection between our choices and the problem at hand.

- **Mediocre performance** involves picking a default model (e.g., logistic regression or random forest), using out-of-the-box settings with no tuning or justification.
- **Strong candidates** choose models deliberately, explaining how their selection fits the **data characteristics, business goals, or system constraints**.
- We improve performance through **hyperparameter tuning**, using techniques like grid search or informed manual adjustments based on EDA insights.
- When appropriate, we apply **ensemble methods** (e.g., boosting, bagging, stacking) to push performance further.
- Most importantly, we demonstrate that our modeling choices are **intentional and grounded in context**, not just rote or random experimentation.

If you want to learn even more from Yayun:

- Book 1 on 1 career guidance with her here: <https://calendly.com/your-friend-yayun/1on1>
- Follow her on LinkedIn: <https://www.linkedin.com/in/yayunjin/>

Underrated Career Goals

We highlight the qualities engineers consistently underestimate and why these matter far more than most people realize when choosing a company or team.

Here are the core points from the lesson:

- We emphasize that the most underrated factor by far is a truly supportive team: a strong manager, teammates who challenge and care about us, and an environment where we grow—something incredibly rare, worth cherishing, and often more valuable than joining a prestigious brand.
- We explain that growth opportunities don’t come automatically from prestige; even at places like Meta or Google, you can land on a team with poor scope or weak culture, and real growth often requires intentional team selection and proactive effort.
- We stress that stability and sustainable work-life balance are often undervalued by early-career engineers, who assume they can power through long hours, even though sustained 60-hour weeks degrade learning, productivity, and mental health—and that the best creators historically do only a few hours of deep work daily.

Hiring Manager (Director+) Perspective

If you want direct interview support from Alex and Uzair, take their live Maven course with discount code **TARO10**: <https://maven.com/alex-kliotzkin/acing-em-interviews>

This segment of the course explains why understanding the mindset of the engineering manager (EM) hiring manager—typically a director or above—is critical for succeeding in EM interviews. It emphasizes that trust, not just competence, is the cornerstone of what these senior leaders are evaluating.

- **Trust is the foundation of EM hiring.** Directors operate in a world filled with ambiguity—changing priorities, unclear requirements, and frequent people challenges. They need leaders they can trust implicitly.
- **Competence is not enough.** While technical ability is important, directors are evaluating whether a candidate will help solve problems or become another issue that needs managing.
- **Reliability during adversity is crucial.** Senior leaders are asking: *Will this person make my life easier when things get tough?* Candidates must show they can thrive in uncertainty and still deliver results.
- **The hiring lens is risk-focused.** From the director’s perspective, hiring an EM is about minimizing risk. The ideal EM is a stabilizing force—someone who says, *“Trust me, I’ve got this”*—and actually means it.

Understanding The Role

If you want direct interview support from Alex and Uzair, take their live Maven course with discount code **TARO10**: <https://maven.com/alex-kliotzkin/acing-em-interviews>

This part of the course explains why becoming an engineering manager (EM) is not just a promotion—it’s a **career pivot**. Understanding the differences in scope and responsibilities between individual contributors and managers is essential to succeed in EM interviews and in the role itself.

- **Role Shift:** Transitioning from engineer to EM means moving from primarily technical tasks to handling broader responsibilities involving people and strategy.
- **Scope vs. Focus:** Senior engineers focus on deep technical problems, while EMs begin to balance both technical and organizational concerns; directors and VPs go even further toward people/strategy.
- **Career Tracks Diverge:** Staying on the IC track keeps you focused on technology, but switching to EM roles sets you on a path toward executive leadership (e.g., director, VP).
- **Lack of Preparation:** Most engineers aren’t trained to manage people or lead strategically, which causes difficulties when transitioning into EM roles.
- **Wrong Reasons:** Some pursue management purely to climb the ladder, which can result in disengaged or ineffective leaders who use their teams as stepping stones.

Hi, I’m Uzair

If you want direct interview support from Alex and Uzair, take their live Maven course with discount code **TARO10**: <https://maven.com/alex-kliotzkin/acing-em-interviews>

Uzair is an experienced engineering manager with a passion for helping other leaders grow and succeed in their careers. With a solid background in software development and extensive hiring experience, he brings deep insight into the engineering management interview process.

- Currently serves as an engineering manager at Stripe, with previous experience at Amazon
- Has over 10 years of engineering management experience across tech companies and consulting firms, and more than 20 years in software development overall
- Former Amazon bar raiser, responsible for upholding high hiring standards across 250+ interviews conducted at Amazon and over 750 total in his career
- Has trained, managed, and promoted more than 15 engineering managers
- Brings a wealth of knowledge in both leadership development and technical interviewing to support aspiring engineering managers

Maximize Your Equity And Benefits In Tech [Part 22] - Healthcare And Miscellaneous Benefits

From picking the right medical plan to using hidden financial perks, there’s a lot you can do to stretch your benefits beyond equity. Here are the core points from the lesson:

- PPO, EPO, and HMO plans vary in flexibility and cost, with PPOs offering the most freedom and HMOs the lowest cost but most restrictions
- Understanding plan terms like premiums, deductibles, copays, and coinsurance helps you estimate total medical costs more accurately
- HSAs offer exceptional tax advantages and long-term growth potential, especially if you invest the funds and save receipts for future reimbursement
- FSAs are employer-based, use-it-or-lose-it accounts that are best used only when you know you’ll spend the funds during the year
- Tech workers may also have access to other valuable benefits like legal services, fertility support, wellness stipends, and insurance—but employer-provided life and disability coverage may not be enough if you truly need it

Next steps with Andy:

- [Connect with Andy on LinkedIn](https://www.linkedin.com/in/andymoranio)
- [Leave feedback and/or sign up for Andy’s newsletter](https://subscribepage.io/taroequitycourse)
- [Schedule a consultation](http://adastrafp.com/contact-us/)

Become An Engineer Influencer [Part 16] - Editing

Maximize Your Equity And Benefits In Tech [Part 14] - Stock Option Special Tax Considerations

When working at an early-stage startup, certain tax strategies can unlock major financial advantages—if you plan ahead. Here are the core points from the lesson:

- Qualified Small Business Stock (QSBS) can allow up to $10 million or 10x your basis in tax-free capital gains if you meet specific conditions, like holding actual shares for five years and your company having under $50M in assets at grant
- Early exercise and filing an 83(b) election can start the QSBS clock early and lock in low tax values, but they come with financial commitment and risk if you leave before fully vesting
- The 83(b) election must be filed within 30 days of exercising options and doesn't accelerate the two-year holding clock required for qualified ISOs
- Only $100K worth of ISOs can vest annually for favorable tax treatment—going above that limit risks converting some to NSOs with different tax implications

Next steps with Andy:

- [Connect with Andy on LinkedIn](https://www.linkedin.com/in/andymoranio)
- [Leave feedback and/or sign up for Andy’s newsletter](https://subscribepage.io/taroequitycourse)
- [Schedule a consultation](http://adastrafp.com/contact-us/)

Become An Engineer Influencer [Part 25] - Digital Products

Promotion Dialog Examples

In this lesson, we examine how *not* to ask for a promotion, then show how to reframe the conversation in a way that aligns incentives, builds trust, and opens up productive dialogue with our EM.

- We highlight that asking “Can I get promoted?” is a poor approach because it’s self-focused, lacks evidence, feels transactional, and corners the manager into a yes/no response.
- We break down why this framing fails: it signals entitlement, doesn’t show impact, ignores team goals, and provides no data or context for advocacy.
- We offer a better alternative: expressing commitment to the team, desire to increase impact, and asking what steps are needed to reach the next level—an open-ended, collaborative question.
- We explain that managers value signals of long-term commitment and team-oriented motivation, not demands based on tenure or frustration.
- We reinforce that smart framing aligns our goals with the manager’s incentives: helping us grow increases team impact, which helps them succeed too.

Become An Engineer Influencer [Part 22] - Monetization Strategies

System Design Example: TikTok Recommendation System

Here’s a summary of the **infrastructure-focused ML system design** walkthrough. We are building a robust, scalable recommendation platform to support multiple product teams, focusing on infrastructure needs such as latency, reliability, and modularity.

- **We design for scalability and flexibility**, supporting 10M+ daily predictions across various surfaces (e.g., homepage, search, email), with &lt;50ms latency for real-time use cases and batch support for offline use.
- **We architect the system** with modular components: batch and streaming feature pipelines, a centralized feature store, a model training platform, a model registry, and scalable inference servers, all integrated with monitoring and alerting.
- **We implement tiered feature computation** (long-term, medium-term, real-time) using tools like Spark and Flink, and store user, item, and contextual features consistently to power accurate and fresh predictions.
- **We support multiple modeling strategies**, including two-tower models, matrix factorization, and DNNs, and use a two-stage architecture with candidate generation followed by precise ranking.
- **We deploy models reliably** using CI/CD pipelines, blue-green deployments, and shadow testing, and maintain performance through A/B testing, autoscaling servers, inference optimizations, and drift detection.

This approach ensures we build ML systems that are production-ready, highly available, and adaptable to the evolving needs of diverse teams.

If you want to learn even more from Yayun:

- Book 1 on 1 career guidance with her here: <https://calendly.com/your-friend-yayun/1on1>
- Follow her on LinkedIn: <https://www.linkedin.com/in/yayunjin/>

Amazon Behavioral Interview [Part 20] - Taking An Unpopular Stance (Evaluation)

This video segment provides feedback on an individual's response to a behavioral interview question about a time when they took an unpopular stance.

- **Identified Shortcomings:** The feedback highlights that the interviewee's response, while demonstrating a willingness to disagree with leadership, may not be perceived favorably in an Amazon interview setting.
- **Amazon's "Backbone" Culture:** The feedback emphasizes the importance of the "backbone" principle at Amazon, which values individuals who not only express their opinions but also actively contribute to the success of the chosen course of action, even if it differs from their initial recommendation.
- **Alternative Approach:** The feedback suggests that a more effective response would have focused on how the interviewee, despite the initial disagreement, actively contributed to the success of the chosen strategy. This could include:
  - Emphasizing their commitment to implementing the decision effectively.
  - Describing how they provided valuable input and insights to improve the chosen approach.
  - Highlighting their contributions to mitigating potential challenges and ensuring the successful execution of the strategy.
- **Importance of Demonstrating Commitment:** The feedback emphasizes that Amazon values individuals who are not only willing to express their opinions but also demonstrate a strong commitment to the success of the team and the organization, regardless of whether their initial recommendations are adopted.

This analysis provides valuable insights into the expectations and values of Amazon's interview process, particularly regarding the "backbone" principle and the importance of demonstrating commitment and a collaborative approach.

Learn more about Alan's job search program, Kadima Careers, using this [discount link](https://signup.kadimacareers.com/mQBsDvu).

What Are Advanced Concepts I Should Know?

In this lesson we talk about how to effectively prepare for AI-assisted coding interviews, with a focus on shifting your study habits to match what these interviews actually test.

- **Learn the "why" before the "how"** — rather than drilling implementations, focus on understanding the canonical problem each data structure solves and practice explaining it in one sentence out loud; with AI handling the code, being unable to independently identify the right approach is now much harder to hide or compensate for.
- **Know the common gotchas for each pattern** — every classic structure has a specific edge case trap (e.g. the `is_end` flag in a trie, recency updates in an LRU cache, off-by-one errors in sliding windows); getting familiar with these upfront dramatically speeds up your ability to verify AI-generated output during the interview.
- **Practice reading code, not just writing it** — since interviews now involve more time spent reading starter code and verifying AI output than typing from scratch, deliberately train yourself to mentally trace logic quickly by reading existing solutions online or having AI generate code for problems you already understand, then tracing through them by hand.

The Basics

In this lesson, we outline how to structure manager 1:1s so they become one of the most powerful tools for growth, clarity, and alignment in the IC–EM relationship.

- We highlight that the gold standard for 1:1s is weekly, recurring, and 30 minutes long, which is long enough for meaningful depth but manageable on a manager’s packed calendar.
- We stress that cancellations should be rare because these meetings are the “lifeblood” of the relationship and the primary space where trust, alignment, and problem-solving happen.
- We recommend keeping a running meeting notes document with agendas, discussion points, and assigned action items to ensure continuity and accountability.
- We emphasize that although 1:1s take only \~1–2% of our weekly hours, they influence 30–70% of how quickly we grow and how effectively we leverage our EM.
- We reinforce that strong engineers prepare intentionally for these meetings—coming with notes, plans, and reflection—rather than waiting passively for their manager to drive the conversation.

So What Do Engineering Managers Do?

If you want direct interview support from Alex and Uzair, take their live Maven course with discount code **TARO10**: <https://maven.com/alex-kliotzkin/acing-em-interviews>

An engineering manager’s role extends far beyond attending meetings or writing reports—it centers on one core responsibility: *Ensuring the team delivers*. This requires balancing accountability, leadership, and adaptability across multiple domains.

- **Facilitate Decision-Making and Own Processes:** EMs don’t always make every decision, but they must facilitate the decision-making process and ensure team adherence to defined practices like quality standards or definitions of done.
- **Own Delivery Outcomes:** Regardless of who does what on the team, the EM is ultimately responsible for all deliverables—both successes and failures.
- **Bridge Business and Engineering:** EMs connect the technical team with the broader business, helping engineers understand customer needs, product lifecycles, and why building the *right* thing is more important than just building it right.
- **Ensure Product Integrity and Fill Gaps:** Maintaining consistent product quality across releases is part of the EM's responsibility. They must also step into roles as needed—whether that’s scrum master, product owner, or project manager—to remove blockers and enable progress.
- **Represent the Team and Grow Talent:** EMs act as the external face of the team to stakeholders and leadership while also coaching and developing individual engineers to help them grow in their careers.

Project Presentation

Some companies include a **project presentation round** in their ML interview process, where we’re expected to walk interviewers through a real project from start to finish. This is a powerful opportunity to showcase our end-to-end technical skills, communication ability, and strategic thinking.

- **Use visuals** to anchor the conversation—simple diagrams in Excalidraw or Google Docs help explain architecture clearly and keep interviewers engaged.
- **Explain concepts like you’re teaching a junior engineer**, avoiding jargon and offering quick context before diving into complex ideas (e.g., why negative sampling is needed).
- **Stay composed during interruptions**, as these are often tests of our communication clarity rather than signs of concern.
- **Show real trade-off thinking**—don’t just name-drop methods; explain *why* one approach was selected over others based on constraints like latency or scalability.

This round is about more than technical depth—it’s about demonstrating that we can **lead projects, make informed decisions, and communicate them with confidence and clarity**.

If you want to learn even more from Yayun:

- Book 1 on 1 career guidance with her here: <https://calendly.com/your-friend-yayun/1on1>
- Follow her on LinkedIn: <https://www.linkedin.com/in/yayunjin/>

Tech Career Growth Videos

Our instructional videos provide software engineers with insights needed for career growth. Masterclasses go incredibly in-depth on a specific tech topic while case studies are real examples from established engineering leaders.